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[SOURCE: https://en.wikipedia.org/wiki/BBC_News] | [TOKENS: 8810] |
Contents BBC News BBC News is an operational business division of the British Broadcasting Corporation (BBC) responsible for the gathering and broadcasting of news and current affairs in the UK and around the world. The department is the world's largest broadcast news organisation and generates about 120 hours of radio... |
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[SOURCE: https://forum.webflow.com/latest] | [TOKENS: 44] |
Weโve launched a new Webflow Community. This forum will be deprecated in Spring 2026 as content and members migrate to our new platform. โ Join the new community Powered by Discourse, best viewed with JavaScript enabled |
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[SOURCE: https://www.ynet.co.il/] | [TOKENS: 206] |
ืืจืืืค ืืืืื ืขื ืฉืื ืื ืืืฉื - ืืืื ื ืืืชืืฉื 'ืืืกืื ืืืืื ืืืืืืืื ืจืืื ืฉืืืืฆื ืืื ืืช ืืฉืืืืจืื' "ืืืืงืช DNA ืืืฉืจืืืื": ืืจืืืืื ืืืืคืจืข ืฉื ืงืจืืกืื ืื ืฆืจืื ืืืจืื? ืืืืืืืฆืื ืฉื ืืืคืื ืืฆืืฆืืื ืืคืขื ื-16: ืชืืจืืช "ืืืืจื ืฉื ืืืืื ื" ืืืฆืืช ืืืจื |
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[SOURCE: https://www.mako.co.il/] | [TOKENS: 12674] |
ืืืื ืืื ืืจ ืืฉืืื ืืื ืืืืจ ืืจืฆืืขื: ืืืคื ื ืืฉืคืชืืืคื ืืืืืื ืืืจ ื ืขืจืืื ืืื ืืกื: ืืืจื ืืืชืจ ืืฉื ืชืืื ืฉื ื ืืืืืช ืฆื"ื ืืขืื, ืขืืฉืื ืื ืจืฉืื - ืื ืชืชืืืง ืืฉืืืื ืืจืฆืืขื ืืื ืืืืืืช ืืืจืื10:41ืฉื ืืืืขืื ืืืืฉื ืืืื ืืื ืืจ ืืฉืืื ืืื ืืืืจ ืืจืฆืืขื: ืืืคื ื ืืฉืคืช ืืืคื ืืืืืื ืืืจ ื ืขืจืืื ืืื ืืกื: ืืืจื ืืืชืจ ืืฉื ืชืืื ืฉื ื ืืืืืช ืฆื"ื ืืขืื, ืขืืฉืื ืื ืจืฉืื... |
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[SOURCE: https://forum.unity.com/] | [TOKENS: 45] |
The Unity Discussions (previously Unity Forums & Unity Answers) is a place for you to ask questions, discuss, help others, and get help from peers regarding Unity development. Powered by Discourse, best viewed with JavaScript enabled |
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[SOURCE: https://huggingface.co/datasets/Raziel1234/WebBooks] | [TOKENS: 90] |
Datasets: Raziel1234 / WebBooks like 0 Books Corpus Dataset Overview This dataset is a large collection of text lines extracted from free books available on Project Gutenberg. The dataset is primarily composed of literary texts, including classical literature and science fiction. It is designed for training custom lang... |
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[SOURCE: https://en.wikipedia.org/wiki/The_New_York_Times] | [TOKENS: 13653] |
Contents The New York Times The New York Times (NYT)[b] is a newspaper based in Manhattan, New York City. The New York Times covers domestic, national, and international news, and publishes opinion pieces and reviews. As one of the longest-running newspapers in the United States, the Times serves as one of the country'... |
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[SOURCE: https://en.wikipedia.org/wiki/Fox_News] | [TOKENS: 18442] |
Contents Fox News The Fox News Channel (FNC), often referred to as Fox News, is an American multinational conservative news and political commentary television channel and website based in New York City. Owned by the Fox News Media subsidiary of Fox Corporation, it is the most-watched cable news network in the United S... |
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[SOURCE: https://huggingface.co/datasets/Raziel1234/LiteGPT-DataSet] | [TOKENS: 313] |
Datasets: Raziel1234 / LiteGPT-DataSet like 0 LiteGPT Dataset This repository contains a synthetic conversational dataset designed for training lightweight GPT-style language models like LiteGPT. The dataset consists of user-assistant dialogues with enriched prompts and responses. : : ``` Special Tokens: : Beginning of... |
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[SOURCE: https://huggingface.co/datasets/Raziel1234/WebText-1] | [TOKENS: 277] |
Datasets: Raziel1234 / WebText-1 like 0 Orion-Spark-30M Dataset The Orion-Spark-30M dataset is a curated corpus containing 10,846 lines of text gathered from reputable internet sources, including Wikipedia pages, technology news websites, and educational platforms. The dataset focuses on foundational and advanced topic... |
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[SOURCE: https://huggingface.co/datasets/Raziel1234/WebText-2] | [TOKENS: 180] |
Datasets: Raziel1234 / WebText-2 like 0 Orion-Spark-2 Dataset Overview The Orion-Spark-2 Dataset is a text corpus curated for training the Orion-Spark-2 transformer language model. It consists of a diverse collection of sentences extracted from multiple sources including Wikipedia articles, technology news sites, devel... |
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[SOURCE: https://huggingface.co/datasets/Raziel1234/WebText-3] | [TOKENS: 127] |
Datasets: Raziel1234 / WebText-3 like 0 WebText-3 Corpus WebText-3 is a large-scale, diverse text corpus collected from publicly available web pages. It contains cleaned and normalized sentences suitable for natural language processing (NLP), machine learning, and AI training. Dataset Overview Data Characteristics Exam... |
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[SOURCE: https://en.wikipedia.org/wiki/GPT-1] | [TOKENS: 758] |
Contents GPT-1 Generative Pre-trained Transformer 1 (GPT-1) was the first of OpenAI's large language models following Google's invention of the transformer architecture in 2017. In June 2018, OpenAI released a paper entitled "Improving Language Understanding by Generative Pre-Training", in which they introduced that in... |
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[SOURCE: https://huggingface.co/datasets/Raziel1234/Minecraft-Webtext] | [TOKENS: 230] |
Datasets: Raziel1234 / Minecraft-Webtext like 0 Minecraft Text Corpus Dataset This dataset is a large-scale text corpus collected from various Minecraft-related online sources.It contains descriptive, community-driven, and encyclopedic content covering the Minecraft universe, including its mechanics, updates, character... |
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[SOURCE: https://en.wikipedia.org/wiki/GPT-4] | [TOKENS: 2908] |
Contents GPT-4 Generative Pre-trained Transformer 4 (GPT-4) is a large language model developed by OpenAI and the fourth in its series of GPT foundation models. GPT-4 is more capable than its predecessor GPT-3.5 and followed by its successor GPT-5. GPT-4V is a version of GPT-4 that can process images in addition to tex... |
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[SOURCE: https://en.wikipedia.org/wiki/Google_Translate] | [TOKENS: 4867] |
Contents Google Translate Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, and an API that helps developers build browser extensions and sof... |
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[SOURCE: https://he.wikipedia.org/wiki/ืืืืืช_ืืืื ื] | [TOKENS: 5591] |
ืชืืื ืขื ืืื ืื ืืืืืช ืืืื ื ืืืืืช ืืืื ื (ืืื ืืืืช: Machine Learning; ืืขืืชืื ืืืื ื ืื ืืืืื ืืืฉืืืืช) ืืื ืชืช-ืชืืื ืืืืขื ืืืืฉื ืืืืื ื ืืืืืืชืืช ืืืฉืืง ืืชืืืื ืืกืืืืกืืืงื ืืืืืคืืืืืืฆืื. ืืชืืื ืขืืกืง ืืคืืชืื ืืืืืจืืชืืื ืืืืืขืืื ืืืคืฉืจ ืืืืฉื ืืืืื ืืืืืืืืช, ืืคืืขื ืืืืืื ืืฉืืืืช ืืืฉืืืืืช ืืื ืืชืื ืืช ืืงืืืกื ืืื ื ืืคืฉืจื. ืืื ืืืืื ืืื ืชืืื ื... |
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[SOURCE: https://he.wikipedia.org/wiki/JavaScript] | [TOKENS: 7519] |
ืชืืื ืขื ืืื ืื JavaScript JavaScript (ืืขืืจืืช: ื'ืืืื ืกืงืจืืคื, ืืงืืฆืืจ: JS) ืืื ืฉืคืช ืชืื ืืช ืืืฉืืฉืช ืืคืืชืื ืืชืจื ืืื ืืจื ื ืืืคืืืงืฆืืืช. ืืื ืื ืืืช ืืืืื ืืืืืืืช ืืืกืืกืืืช ืฉืืืฆืจืืช ืืช ืืืื ืืจื ื, ืืื ืขื HTML ืึพCSS. ื ืืื ืึพ2023, 98.7% ืืืืชืจืื ืืฉืชืืฉืื ืึพJavaScript ืืฆื ืืืงืื ืฉื ืืืชืจ ืฉืืื, ืืขืืชืื ืงืจืืืืช ืชืื ืฉืืืืฉ ืืกืคืจืืืช ืืืฆืื ืืืช ืืฉื ืื. ืื... |
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[SOURCE: https://he.wikipedia.org/wiki/ืืืคืื_ื ืืื] | [TOKENS: 9478] |
ืชืืื ืขื ืืื ืื ืืืคืื ืกืืืืจื ืืืคืื ืกืืืืจื ืื ืืืคืื ื ืืื ืืื ืืืคืื ืืืืืื ื ืืื, ืืืฉืืจ ืจืืื ืื-ืืืืื ื ืืืกืืื ืื-ืืื ืืช ืืฉืืจ ืืืงืืื ืืื ืจืืื. ื ืืชื ืืืคืขืืื ืืืืืจืื ื ืจืืืื ืืืื ืืืืืื ืฉื ืชืงืฉืืจืช ืกืืืืจืืช ืืืืืกืกืช ืขื ืคืจืืกืช ืชืื ืืช ืืกืืก ืกืืืืจืืืช ืืืจืื ืืืืชืื ืืืืืืื ืฉื ืืืืคืื ืืชืื ืช ืืกืืก, ืืืืคื ืฉืืชืงืฉืืจืช ืืืฉืืื ืืืืืช ืจืฆืืคื ืื ืืืื ืืืชืื ... |
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[SOURCE: https://he.wikipedia.org/wiki/ืขืืืื_ืฉืคื_ืืืขืืช] | [TOKENS: 1872] |
ืชืืื ืขื ืืื ืื ืขืืืื ืฉืคื ืืืขืืช ืขืืืื ืฉืคื ืืืขืืช (ืืื ืืืืช: Natural Language Processing - NLP) ืืื ืชืช-ืชืืื ืฉื ืืื ื ืืืืืืชืืช ืืืืฉื ืืช. ืืื ืขืืกืง ืืืขืืืช ืืงืฉืืจืืช ืืขืืืื ืืื ืืคืืืฆืื ืฉื ืฉืคื ืืืขืืช ืืืื ื ืฉื ืฉืคื ืืืขืืช ืขื ืื ืช ืืืจืื ืืืืฉืืื "ืืืืื" ืืืจืื ืฉื ืืืจืื ืื ื ืืชืืื ืืฉืคืืช ืื ืืฉืืืช. ืขืืืื ืืฉืคื ืืืืขืืช ืงืฉืืจ ืืชืืื ืืืืฉื ืืช ืืืืฉืืืืช, ืืืข... |
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[SOURCE: https://he.wikipedia.org/wiki/ืืื ืืจื ื] | [TOKENS: 11254] |
ืชืืื ืขื ืืื ืื ืืื ืืจื ื ืขืืื ื ืื ืืคืืจืื ืคืืจืื ืืืื ืืจื ื ืืื ืฉืขืจ ืืื ืืขืจืืื ืืงืฉืืจืื ืืืื ืืจื ื. ืืคืืจืื ืกืืงืจ, ืืื ืืืชืจ, ืืช ืืืชืคืชืืืช ืืืจืื ืืืืืืช ืฉื ืืืื ืืจื ื, ืืช ืืฉืืืืฉืื ืืจืืื ืฉืื, ืืืช ืชืจืืืช ืืืื ืืจื ื. ืืืื ืืจื ื (ืืขืืจืืช: ืึดืจึฐืฉึถืืชึถืช) ืืื ืจืฉืช ืชืงืฉืืจืช ื ืชืื ืื ืืืืงืฃ ืืืขื ืืืึพืขืืืื ืฉื ืืฆืจื ืืชืืฆืื ืืืืืืจืื ืจืืื ืืื ืจืฉืชืืช ืืืฉืืื ืฉืืคืฉืจื ืชืงืฉ... |
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[SOURCE: https://he.wikipedia.org/wiki/ืืืื ื] | [TOKENS: 4505] |
ืชืืื ืขื ืืื ืื ืืืื ื ืึฐืึดืื ึธื ืืื ืืจืืื ืคืืืืื ืืืืฉืื ืืื ืืจืกืื ืืืจืืืื ืืฉืื ืืืืืจืคื ืกืคืฆืืคื. ืืืืข ืืืืื ื ืืืื ืืืืืฉืื ืืืืื ืืช ืืคืจื, ืืื ืืชืืืจืช ืืจืื ืืืืจื ืฉื ืื ื ืืื, ืืืชืืืจืจืื ืืืจืืืืจืื ืกืคืฆืืคืืช ืขื ืคื ืกืืืืช ืืฉืืชืคืช ืืืงืชืืช, ืืืงืืช ืืคืืืืืืช. ืืืื ื ืืืืื ืืจืื ืขื ืืื ื ืืืืื ื ืื ืืืืื ืขื ืืื ืืื ืฉืขืืื ืืจืืฉ ืืืืื ื, ืืืืืฆืขืืช ืงืืืฆืช ืื ... |
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[SOURCE: https://he.wikipedia.org/wiki/ืืื] | [TOKENS: 4863] |
ืชืืื ืขื ืืื ืื ืืื ืึผืึนื (ืืื ืืืืช: bot, ืงืืฆืืจ ืฉื robot) ืืื ืชืืื ื ืืืืฆืขืช ืคืขืืืืช ืืืืืืืืืช ืืจื ืืืื ืืจื ื. ืืฉืื ื ืืชืืื ื ืืืืืกืกืช ืขื ืืขื ื ืืคื ืืืช ืฉื ืืฉืชืืฉืื ืืขื ืคืขืืืืช ืคื ืืืืืช ืืืขืจืืช, ืืื ืืืฆืข ืคืขืืืืช ืืืืืืช ืื ืืกืื ืืงืืื ืื ืฉืืื ื ืืืขืืืช ืืคืขืืืื. ืื ืืขื ืืืคืืฉ, ืืืืืื, ืืฉืชืืฉืื ืืืืืื ืืื ืืกืจืืง ืืช ืืคื ืืืื ืืจื ื ืืืฉืืืจ ืืช ืืืืืช ืืืคืชื ... |
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[SOURCE: https://he.wikipedia.org/wiki/ืืื ื_ืืืืืืชืืช] | [TOKENS: 32367] |
ืชืืื ืขื ืืื ืื ืืื ื ืืืืืืชืืช ืืื ื ืืืืืืชืืช (ืืื ืืืืช: Artificial Intelligence; ืืงืืฆืืจ: AI) ืืื ืืืืืชื ืฉื ืืขืจืืืช ืืื ืืืืืืืช ืืืืฉืืื ืืืืืช ืืืืืื ืฉื ืชืืื ื ืื ืืฉืืช, ืืืืื ืื ืืืืื, ืืกืงืช ืืกืงื ืืช, ืคืชืจืื ืืขืืืช ืืชืคืืกื ืืืืชืืช ืื ืืฉืื ืืช. ืื ืืืื ืืชืืื ืืช ืืืฉื ืืกืืจืชืืืช ืืคืืขืืืช ืืคื ืกืืจืช ืืืจืืืช ืงืืืขื ืืจืืฉ, ืืขืจืืืช ืืื ื ืืืืืืชืืช ืืืืกืกืืช ืขื... |
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[SOURCE: https://he.wikipedia.org/wiki/ืืืืื] | [TOKENS: 10953] |
ืชืืื ืขื ืืื ืื ืืืืื ืืืืื ืืื ืืืจื ืฉืืืจืชื ืืืฆืืืง. ืืืจืื ืฉื ืืืืื ืืืื ืืืฉืชื ืืช ืืืืจื ืืื ืขืืื ืขื ืืกืคืจ ืืฉืคืืื ืืืืืื. ืืืืืื ืืืืื ืืืืืช ืืฆืืจื ืืืืืจืช ืืคื ื ืขืฆืื, ืื ืืืืืช ืืืง ืืืฆืืจื ืงืืืืช ืืจืืื ืืืชืจ (ืืืื ืืขืจืืื). ืืื ืื, ืืื ืืืืื ืืืืืช ืืฉืืืืช ืืืฆืืจื ืฉืขืืงืจื ืืื ื ืงืืื, ืืืื ืืืง ืื ืืื ืคืืืืื ืื ืืจืฆืื ืืื ืืืืช. ืืจืืืช ืื ื ืืืื... |
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